Evidence and diligence · · By TriVista AI Practice

The evidence gap in enterprise AI is a decision signal

The active catalog contains more claims than independently proven outcomes. Transparent evidence grading is how buyers avoid false confidence.

More platforms than proof

TriVista's governed website release covers active catalog products but contains 38 common evidence records and 15 named-company cases. The underlying evidence grades are three A, six B, 20 C, and 221 D. That distribution should not be hidden. It is a market signal: buyers are being asked to make consequential decisions in a category where product scope changes quickly and comparable outcome evidence remains scarce.

Evidence is multidimensional

A named customer logo does not answer whether the cited outcome came from the exact product, whether the vendor hosted the claim, which baseline was used, or whether the result transfers to a mid-market operating environment. TriVista separates source quality, source independence, product-match quality, capture date, and limitations so a reader can see what a claim can and cannot support.

How to buy under uncertainty

Low public evidence does not automatically mean a weak product. It means the diligence burden moves to the buyer. Require references that resemble the intended workflow and company context. Recreate the economics from the company's own baseline. Test quality and exceptions against a declared tolerance. Keep commercial, security, and data-rights validation current.

The goal of evidence grading is not to award certainty. It is to make the remaining uncertainty explicit enough to manage.

Methodology

Uses the July 2026 governed evidence register: 38 common evidence records, 15 named-company cases, and the catalog source evidence-grade distribution.

Limitations

Evidence coverage is incomplete and time-sensitive. Vendor-hosted cases, peer-review aggregates, and exact-product matches carry different levels of independence and applicability.

Use the Index to investigate the next question

Search the platform research or tailor an AI Opportunity Brief to your priorities and context.